Tech »  Topic »  HBF will integrate alongside HBM near AI accelerators, forming a tiered memory architecture.

HBF will integrate alongside HBM near AI accelerators, forming a tiered memory architecture.


The explosion of AI workloads has placed unprecedented pressure on memory systems, forcing companies to rethink how they deliver data to accelerators.

High-bandwidth memory (HBM) has served as a fast cache for GPUs, allowing AI tools to read and process key-value (KV) data efficiently.

However, HBM is expensive, fast, and limited in capacity, while high-bandwidth flash (HBF) offers much larger volume at slower speeds.

HBM-on-GPU set to power the next revolution in AI accelerators - and just to confirm, there's no way this will come to your video card anytime soonNew 'serial' tech will significantly reduce the cost of memory — HBM memory, that is, the sort of RAM only AI hyperscalers can use, but hey, at least they won't go after consumer RAM, or would they?‘In AI models, the real bottleneck isn’t computing power — it’s memory’: Phison CEO on 244TB SSDs, PLC NAND, why high-bandwidth ...
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